We are active in the following areas.
Quant Platform brings you browser-based, interactive, collaborative data & financial analytics using Python, R, Julia and more. DX Analytics brings powerful derivatives and risk analytics to Python.
Benefit from decades of experience in Python and Quant Finance to build modern analytics solutions efficiently and fast. Read our books Python for Finance, Derivatives Analytics with Python and Listed Volatility & Variance Derivatives.
We offer consulting, development and training services in all financial capitals (eg Frankfurt, London, New York, Singapore). We conduct Python for Quant Finance meetups and For Python Quants bootcamps. We love the community.
We focus on Python and Open Source Technologies for Financial Data Science, Algorithmic Trading and Computational Finance.
All you need to beneficially apply Python for finance and algorithmic trading.
Experience a new level of productivity and a new approach to collaboration in financial analytics. The platform offers eg Jupyter Notebooks, full browser-based shell acess, GUI-based filemanagement, project/file sharing & publishing. Get a free trial.
Completely modular and object-oriented open source library to model, manage, price and risk manage complex portfolios of (multi-risk) derivatives with potentially complex correlations structures. Optimize portfolios, value interest swaps and more. Visit http://dx-analytics.com.
Benefit from powerful features of the platform.
Browser-based notebooks for interactive data analytics with e.g. Python, R, Julia
Easily visualize your data – both statically and interactively (D3.js)
Edit all typical code files within the browser (e.g. Python, HTML, CSS)
Easily upload, download and display your data, files, etc.
Full Dropbox integration for easy file sharing, backup, etc.
Use all Linux tools that you love (e.g. Git, Vim, htop) in the browser
Benefit from libraries for advanced financial & risk analytics
Publish your documents & files, deploy your Web applications
Collaborate within your company, define projects, rights & roles
Our unique set of training offerings. Tailored to your needs.
Read our books to learn about the power of Python for Finance.
Learn the relevant Python basics
and profit from many real-world
Jupyter-based tutorial style.
Market-based valuation and
management of equity index options
from theory and numerics to
implementation in Python.
Wiley Finance, 2015
Introduction to listed volatility
and variance derivatives with
directly executable Jupyter
Wiley Finance, 2017
Profit from our expertise: our team members are experts in Python, Quant Finance, Python for Excel, modern analytics infrastructures and more.